Results 11 to 20 of about 147,247 (257)
Research on shearer performance degradation evaluation and applicatio
Accurate identification of the wear and failure of shearer components can provide the necessary support for the prevention and early warning of shearer failures and related accidents, and shearer performance degradation evaluation is an effective way to ...
ZHAI Wenrui +3 more
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Sucker-rod pumping systems are the most widely applied artificial lift equipment in the oil and gas industry. Accurate and intelligent working condition recognition of pumping systems imposes major impacts on oilfield production benefits and efficiency ...
Haibo Cheng +5 more
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PATIENT SAFETY ATTITUDE AMONG HEALTH CARE PROVIDERS IN FAMILY HEALTH CARE CENTERS IN CAIRO GOVERNORATE [PDF]
Two hundred and eighty Health care; physicians, nurses and technicians were included in the study, 133 (47.5) from 6th discrete HCF, 54 (19.3%) from Duwaiqa and 93 (33.2%) from Al Haggana.
HANAA ELHARONI +3 more
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The impact of different distractions on outdoor visual search and object memory
We investigated whether and how different types of search distractions affect visual search behavior and target memory while participants searched in a real-world environment.
Sarah Jasmin Nachtnebel +4 more
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An Operating Status Analysis System of Reactor Equipment Based on Voiceprint Recognition Technology
In order to find transformer (reactor) faults in time, a transformer working condition detection method and verification system based on voiceprint recognition technology was proposed.
Litan Cao +3 more
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On-Line Froth Depth Estimation for Sulphur Flotation Process With Multiple Working Conditions
This paper proposed a non-contact froth depth estimation approach based on machine vision. Firstly, the froth images collected from sulphur flotation process under different working conditions are processed to obtain froth features. Secondly, the working
Mingfang He, Bei Sun
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In order to more accurately recognize and understand the working condition of sucker-rod pumping wells so as to maximally reduce the cost and increase the profit, a large amount of data has been collected during oil production with sucker-rod pumping ...
Bin Zhou +3 more
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Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions [PDF]
Bearing state recognition, especially under variable working conditions, has the problems of low reusability of monitoring data, low state recognition accuracy and low generalization ability of the model. The feature-based transfer learning method can solve the above problems, but it needs to rely on signal processing knowledge and expert diagnosis ...
Ning Cao +3 more
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An analysis was conducted on the identification methods of underground drilling conditions in coal mines from three aspects: parameter collection, data processing, and abnormal condition recognition.
Tao CHEN, Youzhen ZHANG, Chao XU
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While some first language (L1) reading models suggest that inefficient word recognition and small working memory tend to inhibit higher-level comprehension processes; the Compensatory Encoding Model maintains that slow word recognition and small working ...
Feifei Han
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